ATTEST: Advanced Three-dimensional Television System Technologies
Found in:
3D Data Processing Visualization and Transmission, International Symposium on
By André Redert, Marc Op de Beeck, Christoph Fehn, Wijnand IJsselsteijn, Marc Pollefeys, Luc Van Gool, Eyal Ofek, Ian Sexton, Philip Surman
Issue Date:June 2002
pp. 313
<p>We describe the goals of the ATTEST project, which started in March 2002 as part of the Information Society Technologies (IST) programme, sponsored by the European Commission. In the 2-year project, several industrial and academic partners coopera...

Joint Feature Tracking and Radiometric Calibration from Auto-Exposure Video
Found in:
Computer Vision, IEEE International Conference on
By Seon Joo Kim, Jan-Michael Frahm, Marc Pollefeys
Issue Date:October 2007
pp. 1-8
To capture the full brightness range of natural scenes, cameras automatically adjust the exposure value which causes the brightness of scene points to change from frame to frame. Given such a video sequence, we introduce a new method for tracking features ...

Temporally Consistent Reconstruction from Multiple Video Streams Using Enhanced Belief Propagation
Found in:
Computer Vision, IEEE International Conference on
By E. Scott Larsen, Philippos Mordohai, Marc Pollefeys, Henry Fuchs
Issue Date:October 2007
pp. 1-8
We present an approach for 3D reconstruction from multiple video streams taken by static, synchronized and calibrated cameras that is capable of enforcing temporal consistency on the reconstruction of successive frames. Our goal is to improve the quality o...

3D Occlusion Inference from Silhouette Cues
Found in:
Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Li Guan, Jean-Sebastien Franco, Marc Pollefeys
Issue Date:June 2007
pp. 1-8
We consider the problem of detecting and accounting for the presence of occluders in a 3D scene based on silhouette cues in video streams obtained from multiple, calibrated views. While well studied and robust in controlled environments, silhouette-based r...

3D Recording for Archaeological Fieldwork
Found in:
IEEE Computer Graphics and Applications
By Marc Pollefeys, Luc Van Gool, Maarten Vergauwen, Kurt Cornelis, Frank Verbiest, Jan Tops
Issue Date:May 2003
pp. 20-27
<p>Archaeological fieldwork is often characterized by the need for recording information in difficult working circumstances with little time and money. In this context, 3D recording tools can be useful, but suitable techniques should be flexible and ...

A model change detection approach to dynamic scene modeling
Found in:
Advanced Video and Signal Based Surveillance, IEEE Conference on
By Seon Joo Kim, Gianfranco Doretto, Jens Rittscher, Peter Tu, Nils Krahnstoever, Marc Pollefeys
Issue Date:September 2009
pp. 490-495
In this work we propose a dynamic scene model to provide information about the presence of salient motion in the scene, and that could be used for focusing the attention of a pan/tilt/zoom camera, or for background modeling purposes. Rather than proposing ...

Simple calibration of non-overlapping cameras with a mirror
Found in:
Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Ram Krishan Kumar, Adrian Ilie, Jan-Michael Frahm, Marc Pollefeys
Issue Date:June 2008
pp. 1-7
Calibrating a network of cameras with non-overlapping views is an important and challenging problem in computer vision. In this paper, we present a novel technique for camera calibration using a planar mirror. We overcome the need for all cameras to see a ...

RANSAC for (Quasi-)Degenerate data (QDEGSAC)
Found in:
Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Jan-Michael Frahm, Marc Pollefeys
Issue Date:June 2006
pp. 453-460
The computation of relations from a number of potential matches is a major task in computer vision. Often RANSAC is employed for the robust computation of relations such as the fundamental matrix. For (quasi-)degenerate data however, it often fails to comp...

Automatic Kinematic Chain Building from Feature Trajectories of Articulated Objects
Found in:
Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Jingyu Yan, Marc Pollefeys
Issue Date:June 2006
pp. 712-719
We investigate the problem of learning the structure of an articulated object, i.e. its kinematic chain, from feature trajectories under affine projections. We demonstrate this possibility by proposing an algorithm which first segments the trajectories by ...

Multi-View Geometry of 1D Radial Cameras and its Application to Omnidirectional Camera Calibration
Found in:
Computer Vision, IEEE International Conference on
By SriRam Thirthala, Marc Pollefeys
Issue Date:October 2005
pp. 1539-1546
We study the multi-view geometry of 1D radial cameras. A broad a class of both central and non-central cameras, such as fish-eye and catadioptric cameras, can be reduced to 1D radial cameras under the assumption of known center of radial distortion. For ca...

The Radial Trifocal Tensor: A Tool for Calibrating the Radial Distortion of Wide-Angle Cameras
Found in:
Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By SriRam Thirthala, Marc Pollefeys
Issue Date:June 2005
pp. 321-328
We present a technique to linearly estimate the radial distortion of a wide-angle lens given three views of a real-world plane. The approach can also be used with pure rotation as in this case all points appear as lying on a plane. The three views can even...

Visual-Hull Reconstruction from Uncalibrated and Unsynchronized Video Streams
Found in:
3D Data Processing Visualization and Transmission, International Symposium on
By Sudipta N. Sinha, Marc Pollefeys
Issue Date:September 2004
pp. 349-356
We present an approach for automatic reconstruction of a dynamic event using multiple video cameras recording from different viewpoints. Those cameras do not need to be calibrated or even synchronized. Our approach recovers all the necessary information by...

Auto-Calibration of Multi-Projector Display Walls
Found in:
Pattern Recognition, International Conference on
By Andrew Raij, Marc Pollefeys
Issue Date:August 2004
pp. 14-17
By treating projectors as pin-hole cameras, we show it is possible to calibrate the projectors of a casually-aligned, multi-projector display wall using the principles of planar auto-calibration. We also use a pose estimation technique for planar scenes to...

Radiometric Alignment of Image Sequences
Found in:
Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Seon Joo Kim, Marc Pollefeys
Issue Date:July 2004
pp. 645-651
Color values in an image are related to image irradiance by a nonlinear function called radiometric response function. Since this function depends on the aperture and the shutter speed, image intensity of a same object may vary during the acquisition of an...

Camera Network Calibration from Dynamic Silhouettes
Found in:
Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Sudipta N. Sinha, Marc Pollefeys, Leonard McMillan
Issue Date:July 2004
pp. 195-202
In this paper we present an automatic method for calibrating a network of cameras from only silhouettes. This is particularly useful for shape-from-silhouette or visual-hull systems, as no additional data is needed for calibration. The key novel contributi...

Dealing with Textureless Regions and Specular Highlights-A Progressive Space Carving Scheme Using a Novel Photo-consistency Measure
Found in:
Computer Vision, IEEE International Conference on
By Ruigang Yang, Marc Pollefeys, Greg Welch
Issue Date:October 2003
pp. 576
We present two extensions to the Space Carving framework. The first is a progressive scheme to better reconstruct surfaces lacking sufficient textures. The second is a novel photo-consistency measure that is valid for both specular and diffuse surfaces, un...

Stratified Self-Calibration with the Modulus Constraint
Found in:
IEEE Transactions on Pattern Analysis and Machine Intelligence
By Marc Pollefeys, Luc Van Gool
Issue Date:August 1999
pp. 707-724
<p><b>Abstract</b>—In computer vision and especially for 3D reconstruction, one of the key issues is the retrieval of the calibration parameters of the camera. These are needed to obtain metric information about the scene from the camera....

Real-World Normal Map Capture for Nearly Flat Reflective Surfaces
Found in:
2013 IEEE International Conference on Computer Vision (ICCV)
By Bastien Jacquet,Christian Hane,Kevin Koser,Marc Pollefeys
Issue Date:December 2013
pp. 713-720
Although specular objects have gained interest in recent years, virtually no approaches exist for marker less reconstruction of reflective scenes in the wild. In this work, we present a practical approach to capturing normal maps in real-world scenes using...

Box in the Box: Joint 3D Layout and Object Reasoning from Single Images
Found in:
2013 IEEE International Conference on Computer Vision (ICCV)
By Alexander G. Schwing,Sanja Fidler,Marc Pollefeys,Raquel Urtasun
Issue Date:December 2013
pp. 353-360
In this paper we propose an approach to jointly infer the room layout as well as the objects present in the scene. Towards this goal, we propose a branch and bound algorithm which is guaranteed to retrieve the global optimum of the joint problem. The main ...

Rolling Shutter Stereo
Found in:
2013 IEEE International Conference on Computer Vision (ICCV)
By Olivier Saurer,Kevin Koser,Jean-Yves Bouguet,Marc Pollefeys
Issue Date:December 2013
pp. 465-472
A huge fraction of cameras used nowadays is based on CMOS sensors with a rolling shutter that exposes the image line by line. For dynamic scenes/cameras this introduces undesired effects like stretch, shear and wobble. It has been shown earlier that rotati...

USAC: A Universal Framework for Random Sample Consensus
Found in:
IEEE Transactions on Pattern Analysis and Machine Intelligence
By Rahul Raguram,Ondrej Chum,Marc Pollefeys,Jiri Matas,Jan-Michael Frahm
Issue Date:August 2013
pp. 2022-2038
A computational problem that arises frequently in computer vision is that of estimating the parameters of a model from data that have been contaminated by noise and outliers. More generally, any practical system that seeks to estimate quantities from noisy...

Classification and Pose Estimation of Vehicles in Videos by 3D Modeling within Discrete-Continuous Optimization
Found in:
2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)
By Michael Hodlmoser,Branislav Micusik,Ming-Yu Liu,Marc Pollefeys,Martin Kampel
Issue Date:October 2012
pp. 198-205
This paper presents a framework for classification and pose estimation of vehicles in videos by assuming their given 3D models. We rank possible poses and types for each frame and exploit temporal coherence between consecutive frames for refinement. As a n...

Accurate 3D pose estimation from a single depth image
Found in:
Computer Vision, IEEE International Conference on
By Mao Ye, Xianwang Wang,Ruigang Yang, Liu Ren,Marc Pollefeys
Issue Date:November 2011
pp. 731-738
This paper presents a novel system to estimate body pose configuration from a single depth map. It combines both pose detection and pose refinement. The input depth map is matched with a set of pre-captured motion exemplars to generate a body configuration...

The generalized trace-norm and its application to structure-from-motion problems
Found in:
Computer Vision, IEEE International Conference on
By Roland Angst,Christopher Zach,Marc Pollefeys
Issue Date:November 2011
pp. 2502-2509
In geometric computer vision, the structure from motion (SfM) problem can be formulated as a optimization problem with a rank constraint. It is well known that the trace norm of a matrix can act as a convex proxy for a low rank constraint. Hence, in recent...

Image based detection of geometric changes in urban environments
Found in:
Computer Vision, IEEE International Conference on
By Aparna Taneja,Luca Ballan,Marc Pollefeys
Issue Date:November 2011
pp. 2336-2343
In this paper, we propose an efficient technique to detect changes in the geometry of an urban environment using some images observing its current state. The proposed method can be used to significantly optimize the process of updating the 3D model of a ci...

Stereo Reconstruction of Building Interiors with a Vertical Structure Prior
Found in:
3D Imaging, Modeling, Processing, Visualization and Transmission, International Conference on
By Bernhard Zeisl,Christopher Zach,Marc Pollefeys
Issue Date:May 2011
pp. 366-373
Image-based computation of a 3D map for an indoor environment is a very challenging task, but also a useful step for vision-based navigation and path planning for autonomous systems, and for efficient visualization of interior spaces. Since computational s...

Combining Monocular and Stereo Cues for Mobile Robot Localization Using Visual Words
Found in:
Pattern Recognition, International Conference on
By Friedrich Fraundorfer, Changchang Wu, Marc Pollefeys
Issue Date:August 2010
pp. 3927-3930
This paper describes an approach for mobile robot localization using a visual word based place recognition approach. In our approach we exploit the benefits of a stereo camera system for place recognition. Visual words computed from SIFT features are combi...

Segmenting video into classes of algorithm-suitability
Found in:
Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Oisin Mac Aodha, Gabriel J. Brostow, Marc Pollefeys
Issue Date:June 2010
pp. 1054-1061
Given a set of algorithms, which one(s) should you apply to, i) compute optical flow, or ii) perform feature matching? Would looking at the sequence in question help you decide? It is unclear if even a person with intimate knowledge of all the different al...

3D model search and pose estimation from single images using VIP features
Found in:
Computer Vision and Pattern Recognition Workshop
By Changchang Wu, Friedrich Fraundorfer, Jan-Michael Frahm, Marc Pollefeys
Issue Date:June 2008
pp. 1-8
This paper describes a method to efficiently search for 3D models in a city-scale database and to compute the camera poses from single query images. The proposed method matches SIFT features (from a single image) to viewpoint invariant patches (VIP) from a...

Variable baseline/resolution stereo
Found in:
Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By David Gallup, Jan-Michael Frahm, Philippos Mordohai, Marc Pollefeys
Issue Date:June 2008
pp. 1-8
We present a novel multi-baseline, multi-resolution stereo method, which varies the baseline and resolution proportionally to depth to obtain a reconstruction in which the depth error is constant. This is in contrast to traditional stereo, in which the err...

3D model matching with Viewpoint-Invariant Patches (VIP)
Found in:
Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Changchang Wu, Brian Clipp, Xiaowei Li, Jan-Michael Frahm, Marc Pollefeys
Issue Date:June 2008
pp. 1-8
The robust alignment of images and scenes seen from widely different viewpoints is an important challenge for camera and scene reconstruction. This paper introduces a novel class of viewpoint independent local features for robust registration and novel alg...

Radiometric calibration with illumination change for outdoor scene analysis
Found in:
Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Seon Joo Kim, Jan-Michael Frahm, Marc Pollefeys
Issue Date:June 2008
pp. 1-8
The images of an outdoor scene collected over time are valuable in studying the scene appearance variation which can lead to novel applications and help enhance existing methods that were constrained to controlled environments. However, the images do not r...

Robust 6DOF Motion Estimation for Non-Overlapping, Multi-Camera Systems
Found in:
Applications of Computer Vision, IEEE Workshop on
By Brian Clipp, Jae-Hak Kim, Jan-Michael Frahm, Marc Pollefeys, Richard Hartley
Issue Date:January 2008
pp. 1-8
This paper introduces a novel, robust approach for 6DOF motion estimation of a multi-camera system with non-overlapping views. The proposed approach is able to solve the pose estimation, including scale, for a two camera system with non-overlapping views. ...

Multi-View Stereo via Graph Cuts on the Dual of an Adaptive Tetrahedral Mesh
Found in:
Computer Vision, IEEE International Conference on
By Sudipta N. Sinha, Philippos Mordohai, Marc Pollefeys
Issue Date:October 2007
pp. 1-8
We formulate multi-view 3D shape reconstruction as the computation of a minimum cut on the dual graph of a semi-regular, multi-resolution, tetrahedral mesh. Our method does not assume that the surface lies within a finite band around the visual hull or any...